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The purpose of this study is to construct boundary representation (BREP) phantom for Chinese women of childbearing age, to estimate the external radiation dose and to analyze radiation protection scheme. The BREP phantom for Chinese women of childbearing age was constructed by image segmentation, 3D reconstruction, non-uniform rational B-spline surface construction and voxelization. The photon-irradiated organ absorbed dose-conversion coefficients (DCCK) of the three female specific organs and the photon effective dose-conversion coefficient (ECCK) were calculated by Monte-Carlo method. The results showed that age, body fat-tissue thickness, direction and area of irradiation, organ location and volume all affected the dose of women specific organs when receiving medical exposure. In the case of ensuring the quality of the diagnosis, radiation protection for female specific organs can be achieved by organ dose modulation techniques and reducing exposure area or volume.

Background: The problem of inappropriate deployment of medical equipment in hospitals is a significant issue in China. The purpose of the information system for rational deployment of medical equipment (MERDIS) is to inform judgements about the efficient and rational deployment of medical equipment in hospitals. For research needs, the basic information of 52 hospitals in Shanghai and other provinces are investigated. The deployment method based on clinical pathway and deployment method based on big data are designed to support the data analysis of the system. Through the analysis of macro data, the rational deployment plan of medical equipment in a certain hospital is given. Result: Through the MERDIS system, it is convenient, accurate and intuitive to get the rational deployment plan and suggestions of different types of hospitals affected by different factors can be given conveniently, accurately and intuitively.Conclusion: The design of the MERDIS system provides the development basis for the subsequent development of medical equipment macro data management. In the process of continuous improvement and supplement of data, the software model will become more and more accurate and reliable.

The purpose of this study was to establish a specific test method for dosimetric characterization of wide-beam computed tomography (CT). For a wide beam, the dose distribution curve and the area of the curve were obtained by using pencil-like ionization chamber, a long CT dose profiler probe, a head phantom and a body phantom. The absolute dose conversion coefficient was multiplied to obtain the total integration integral of the absolute dose distribution, and then the computed tomography dose index (CTDI) value under any wide beam condition was obtained by dividing the collimation width. It was calculated that the absolute dose conversion coefficient was 1.135 under the narrow beam of 8 mm. To a 160 mm-wide beam, the value of CTDI was 7.57 mGy/100mAs after normalized in the head 80 kV CT scanning, and it was 9.80 mGy/100mAs after normalized in the body 120 kV CT scanning. The specific test method solves the problem that the previous measurement method underestimates the CTDI value.